VUNO Med®-LungCT AI™

Key Features

  • Lung-RADS reporting
  • Nodule classification
  • Nodule detection
  • Nodule measurement

General Information

Product name

VUNO Med®-LungCT AI™

Company

Subspeciality

Chest

Modality

CT

Disease targeted

Lung Cancer

Main task

Not specified

Technical Specifications

Population

All lung cancer screening population

Patient population age

Not specified

Input

Low-dose Lung CT Scan

Input format

DICOM

Output

List of detected nodules, Nodule diameter/volume, Nodule types, Nodule growth

Output format

DICOM, PDF

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

10 - 60 seconds

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

06-2020

AI Platforms

Not specified

Resellers

Not specified

Countries present

10+

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Pay-per-use

Based on

Number of analyses

Evidence & Research

Other Articles

Other

View

Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer

Other

View

Residual CNN-based Image Super-Resolution for CT Slice Thickness Reduction using Paired CT Scans: Preliminary Clinical Validation

Other

View

A Deep Learning-based CAD that Can Reduce False Negative Reports: A Preliminary Study in Health Screening Center

Source: vendor | First published: Jul 12, 2020 | Last updated: Jul 9, 2025